Triple

T5460927
Position Surface form Disambiguated ID Type / Status
Subject Brazilian government E122590 entity
Predicate electoralSystemChamberOfDeputies P39112 FINISHED
Object proportional representation LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: proportional representation | Statement: [Brazilian government, electoralSystemChamberOfDeputies, proportional representation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralSystemChamberOfDeputies
Context triple: [Brazilian government, electoralSystemChamberOfDeputies, proportional representation]
  • A. electoralSystemForLegislature chosen
    Indicates the type of electoral system used to choose members of a particular legislature.
  • B. votingSystemUpperHouse
    Indicates a relationship where a specified voting system is used to elect or constitute the members of an upper legislative house.
  • C. lowerHouseElectedBy
    Indicates that the members of the lower house of a legislature are chosen through a specified method or by a particular group of voters or body.
  • D. electedChamber
    Indicates that an individual has been chosen through an election to serve as a member of a specific legislative chamber.
  • E. votingSystemLokSabha
    Indicates the type or method of voting system used for elections to the Lok Sabha.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927c946c8190aef40679199fede3 completed March 20, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69bd91a0d96c8190bd1299edbf764bbb completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:08 p.m.